How to Use the Salesquared MCP in AutoGen

Q: Is my campaign data private when AutoGen processes it?

We wrap every getcampaign request in an ephemeral sandbox. The container processes your campaign IDs and metrics in memory and wipes itself clean the moment the response ships.

Give AutoGen agents the ability to run Salesquared voice and SMS campaigns.

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Connect Salesquared MCP to AutoGen

Create your Vinkius account to connect Salesquared to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Salesquared with AutoGen

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Perplexity

Multi-Agent Salesquared Verification

The `validate_email` tool gives your AutoGen agents a factual basis for deciding if a prospect is real. A data-entry agent proposes adding a contact, while a security agent runs the validation check to challenge the input. If the email looks suspicious, the agents negotiate a fallback plan. They might agree to use `send_sms` to ping the user's phone instead. You watch them deliberate and execute the safest path automatically.

Autonomous Conference Control

You can hook the `conference_mute` tool into a live moderation agent. The system listens to the call state and decides when a participant needs to be silenced. Another agent can simultaneously run `create_audio_from_tts` to broadcast a warning message into the room. They work together. One handles the technical muting, the other manages the communication.

Deploy Voice Surveys via MCP

The `create_voice_survey` tool allows your AutoGen squad to build and launch interactive phone trees. A strategy agent drafts the questions, and an execution agent pushes the API call. They can track the rollout by calling `list_campaigns` afterward. If the deployment fails, the agents debate the error logs and attempt a fix without needing you to intervene.

Setup guide

Set up Salesquared MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Salesquared tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Salesquared_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Salesquared data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Salesquared_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Salesquared data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Salesquared. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Salesquared MCP in AutoGen

They don't handle the auth keys. You provide the Vinkius MCP endpoint to the adapter, which manages the secure connection behind the scenes.

Yes. You assign different tools to specific agents. One agent gets `create_lead` while another holds `send_voice_otp`, forcing them to collaborate to finish a workflow.

The MCP Server returns the exact error string to the chat. The agents read the failure, discuss what went wrong, and try a different parameter setup.

No. The framework reads the MCP Server tool definitions and translates them into OpenAI function calling schemas automatically. You just write the system prompts.

We wrap every `get_campaign` request in an ephemeral sandbox. The container processes your campaign IDs and metrics in memory and wipes itself clean the moment the response ships.

Use it with your favorite AI tools

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